Localize 2D image object detection in 3D Scene with Yolo in Unity Barracuda and ARFoundation.

BlazePoseBarracuda is a human 2D/3D pose estimation neural network that runs the Mediapipe Pose (BlazePose) pipeline on the Unity Barracuda with GPU.

HolisticMotionCapture is an application and package that can capture the motion of a person with only a monocular color camera and move the VRM avatar's pose, face, and hands.

An example of using Tensorflow and ONNX models with Unity Barracuda inference engine for image classification and object detection.

HolisticBarracuda is the Unity Package that simultaneously estimates 33 pose, 21 per-hand, and 468 facial landmarks on the Unity Barracuda with GPU.

This tutorial series provides step-by-step instructions for how to perform human pose estimation in Unity with the Barracuda inference library.

Full body pose estimation to be used with HMD (Quest2) built in Unity

SelfieSegmentationBarracuda is a human segmentation neural network that runs the Mediapipe Selfie Segmentation on the Unity Barracuda.

PoseNet Using Unity MLAgents Barracuda Engine

Neural Terrain Generation package for Unity.

PoseDetectionBarracuda is a human pose detecter that runs the Mediapipe Pose Detection neural network model on the Unity Barracuda.

PoseLandmarkBarracuda is a human pose landmark detecter that runs the Mediapipe Pose Landmark neural network model on the Unity Barracuda.

This Unity package extends the functionality of the barracuda-inference-base package to perform object detection using YOLOX models.

A simple Unity project demonstrating how to perform object detection with the barracuda-inference-yolox package.

EasyComputerVision is a Unity plugin that integrates Sentis with a code-free interface to offer an easy way to run ML/DL computer vision models inside the Unity Game Engine

Deploying the Barracuda Next-Gen Firewall on Azure with ARM template

}><(({º> A fancy theme for the fish shell.

Unity Barracudaを用いてMNIST(手書き数字認識)をWebGL上で推論するサンプルです。

Unity Barracudaを用いてTinyYoloV2をWebGL上で推論するサンプルです。

Unity Barracudaを用いてMobileNet(画像クラス分類)をWebGL上で推論するサンプルです。